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DBMS > Databricks vs. SAP SQL Anywhere vs. YugabyteDB

System Properties Comparison Databricks vs. SAP SQL Anywhere vs. YugabyteDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score87.68
Rank#13  Overall
#2  Document stores
#9  Relational DBMS
Score3.18
Rank#82  Overall
#45  Relational DBMS
Score2.45
Rank#107  Overall
#53  Relational DBMS
Websitewww.databricks.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlwww.yugabyte.com
Technical documentationdocs.databricks.comhelp.sap.com/­docs/­SAP_SQL_Anywheredocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperDatabricksSAP infoformerly SybaseYugabyte Inc.
Initial release201319922017
Current release17, July 20152.19, September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesdepending on used data model
Typing infopredefined data types such as float or dateyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesPython
R
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes, in C/C++, Java, .Net or Perlyes infosql, plpgsql, C
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication infoDatabase mirroringBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes
More information provided by the system vendor
DatabricksSAP SQL Anywhere infoformerly called Adaptive Server AnywhereYugabyteDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksSAP SQL Anywhere infoformerly called Adaptive Server AnywhereYugabyteDB
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3 December 2024, The Information

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Yugabyte Announces Sixth Annual Distributed SQL Summit, Unveils Keynote and Lineup of Speakers for November Hybrid Event
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